Solution Architect – GRC, Risk Management & Audit Platforms
Toronto, ONAstra North Infoteck Inc.
8+ YOECandidates need 8+ years in solution architecture, preferably in regulated industries, with hands-on GRC, risk or audit platform experience. They must know operational, financial, audit, compliance and privacy risk domains and have delivered multi-year enterprise transformation programs.
GRC platforms, cloud platforms, APIs
AI Security Architect – Application Security, Zero Trust & AI Governance
Toronto, ONAstra North Infoteck Inc.
Astra North Infoteck needs candidates with strong application security experience (SAST, SCA, DAST, API security, IAM), hands-on tools such as Checkmarx, Snyk and Fortify, Zero Trust and cloud security skills on GCP and Azure, and knowledge of AI security risks such as prompt injection and LLM governance.
Checkmarx, Snyk, Fortify, GitHub, Jenkins, GitLab
Privileged Access Engineer (PAM) – AI Security, IAM & Automation
Montréal, QCAstra North Infoteck Inc.
Astra North Infoteck Inc. needs candidates with hands-on experience in PAM platforms such as CyberArk, BeyondTrust, Delinea or HashiCorp Vault, IAM systems, SIEM tools, cloud platforms and scripting in Python, PowerShell or Bash.
CyberArk, BeyondTrust, Delinea, HashiCorp Vault, Entra ID, Okta
Observability Engineer
Toronto, ONAstra North Infoteck Inc.
Candidates need experienced hands-on work with Kubernetes observability, Prometheus, Grafana, Thanos and Loki. Experience with GitOps, Infrastructure as Code and cloud monitoring is expected.
Prometheus, Grafana, Thanos, Loki, Kubernetes
Principal Databricks Data Engineer
Toronto, ONAstra North Infoteck Inc.
12+ YOECandidates need 12 to 18 years of data engineering experience, including 5+ years with Databricks and Spark at scale and 8+ years with enterprise data warehouse and data lake platforms. Strong knowledge of Cloudera migration, finance and risk data models, and CI/CD tooling is required.
Databricks, Apache Spark, Cloudera, Hive, HBase, Impala
Principal Data Engineer – Databricks
Toronto, ONAstra North Infoteck Inc.
12+ YOECandidates need 12 to 18 years of data engineering experience, with deep Databricks, Spark, Delta Lake and PySpark skills. They also need legacy Cloudera migration experience, finance and risk data modelling, and cloud (AWS or Azure) and CI/CD experience.
Databricks, Apache Spark, PySpark, Delta Lake, Cloudera, Hive
AI Cybersecurity Architect (GenAI Security, AI Risk Management, Cloud Security, Cyber Defense)
Toronto, ONAstra North Infoteck Inc.
8+ YOECandidates need 8+ years in cybersecurity or cyber risk, hands-on AI and GenAI security experience, and knowledge of LLM risks and AI governance. Experience in banking or regulated industries and frameworks such as NIST AI RMF and MITRE ATT&CK are expected.
Microsoft Security Copilot, Azure AI Security, AWS Security Services, Google Vertex AI Security
Oracle AI Architect - AI/ML - OCI
Brampton, ONAstra North Infoteck Inc.
10+ YOECandidates need at least 10 years in enterprise architecture, with 3 years in AI/ML or Generative AI solutioning. Strong Oracle Cloud Infrastructure skills, hands-on Oracle Fusion and ERP Cloud experience, and a solid grasp of LLMs, embeddings and RAG are required.
Oracle Cloud Infrastructure, OCI GenAI, OCI Functions, Oracle Autonomous Database, Oracle Fusion AI Agent Studio, Oracle Integration Cloud
Senior Full Stack Developer - Java, Spring, Angular
Toronto, ONAstra North Infoteck Inc.
8+ YOEAstra North Infoteck Inc. needs candidates with 8+ years of full stack development experience, strong hands-on skills in Angular and Java Spring Boot, and experience with APIs, Kafka, Redis, PostgreSQL, Docker, Kubernetes and OpenShift. Candidates must also have authentication experience (OAuth 2.0, JWT, OIDC) and experience integrating AI/ML capabilities.
Angular, Java Spring Boot, Node.js, Kafka, Redis, PostgreSQL
GenAI Developer – AWS, Generative AI & Machine Learning
Toronto, ONAstra North Infoteck Inc.
6+ YOECandidates need 6 to 8 years of experience with generative AI, LLMs, prompt engineering, RAG, machine learning in Python and AWS cloud services. A bachelor's degree in computer science, engineering, data science or a related field is required.
Amazon Bedrock, Amazon SageMaker, AWS Lambda, Amazon ECS, Amazon EKS, Amazon API Gateway